First International Workshop on Multimedia Analysis and Processing
(IMAP 2007)
August 15-16, 2007
Technical Sponsored by:
IEEE Visual Signal Processing and Communications
Technical Committee
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Multimedia Quality
Evaluation Special Session
l
Weisi Lin,
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Shiqian WU, Institute
for
Rationale and Session Outline
As a result of
market, technology and standardization drives, multimedia contents (images,
video, audio, speech, text, etc.) have been immersing into our work and life at
an explosive rate. Multimedia signal may be acquired, synthesized, enhanced,
watermarked, compressed, transmitted, stored, reconstructed, retrieved,
authenticated and presented for various applications and services. How to
evaluate the quality of multimedia signal plays a central role (explicitly or
implicitly) in shaping numerous related algorithms and systems, as well as
their implementation and optimization.
There are
different requirements of quality evaluation and control in different
applications. Signal quality can be assessed for a single medium. Examples are
music, speech, surveillance video and visual monitoring in manufacturersĄŻ
environment. Quality can be also gauged with more than one media simultaneously
(like video, audio and subtitles in movies). The criteria for HDTV can be
different from those in mobile media. Some systems are developed for human
consumption while others are for the tasks by machines (such as computer
vision). It is beneficial to incorporate a unified quality metric in a system
to be adopted in all modules, in order to achieve the globally optimized
design.
This session aims
at providing a forum for the researcher in the relevant areas to report and
discuss the latest technological progress. Topics of interests include (but not
limited to):
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Visual quality evaluation
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Speech quality evaluation
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Audio quality evaluation
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Audiovisual quality evaluation
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Applications in signal compression and
communication
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Signal quality metrics for multimedia
content retrieval
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Quality criteria for wireless media
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Quality assessment for biometrics, computer
vision and machine intelligence
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Control of medical imaging